Description
This child item describes Python code used to estimate average yearly and monthly tourism per 1000 residents within public-supply water service areas. Increases in population due to tourism may impact amounts of water used by public-supply water systems. This data release contains model input datasets, Python code used to develop the tourism information, and output estimates of tourism. This dataset is part of a larger data release using machine learning to predict public supply water use for 12-digit hydrologic units from 2000-2020. Output from this code was used as an input feature in the public supply delivery and water use machine learning models.
This page includes the following files:
tourism_input_data.zip - a zip file containing input data sets used by the tourism Python code
tourism_output.zip - a zip file with output produced by the tourism Python code
README.txt - a README file describing the data files and code requirements
tourism_study_code.zip - a zip file containing the Python code used to create the tourism feature variable
Resources
| Name | Format | Description | Link |
|---|---|---|---|
| Original Metadata | XML | The metadata original format | Open resource |
| Digital Data | XML | Landing page for access to the data | Open resource |
Tags
- alabama
- arizona
- arkansas
- california
- colorado
- connecticut
- conterminous-united-states
- delaware
- district-of-columbia
- florida
- georgia
- idaho
- illinois
- indiana
- iowa
- kansas
- kentucky
- louisiana
- maine
- maryland
- massachusetts
- michigan
- minnesota
- mississippi
- missouri
- modeling
- montana
- nebraska
- nevada
- new-hampshire
- new-jersey
- new-mexico
- new-york
- north-carolina
- north-dakota
- ohio
- oklahoma
- oregon
- pennsylvania
- public-supply
- rhode-island
- south-carolina
- south-dakota
- tennessee
- texas
- usgs-6462530ad34ec179a83b5007
- utah
- vermont
- virginia
- washington
- water-use
- west-virginia
- wisconsin
- wyoming